Purpose: To examine the independent and incremental value of CT-derived quantitative
burden and attenuation of coronavirus disease 2019 (COVID-19) pneumonia for the prediction
of clinical deterioration or death.Materials and Methods: This was a retrospective
analysis of a prospective international registry of consecutive patients with laboratory
-confirmed COVID-19 and chest CT imaging, admitted to four centers between January
10 and May 6, 2020. Total burden (expressed as a percentage) and mean attenuation
of ground-glass opacities (GGO) and consolidation were quantified from CT using semiauto-mated
research software. The primary outcome was clinical deterioration (intensive care
unit admission, invasive mechanical ventila-tion, or vasopressor therapy) or in-hospital
death. Logistic regression was performed to assess the predictive value of clinical
and CT parameters for the primary outcome.Results: The final population consisted
of 120 patients (mean age, 64 years 6 16 [standard deviation], 78 men), of whom 39
(32.5%) experienced clinical deterioration or death. In multivariable regression of
clinical and CT parameters, consolidation burden (odds ratio [OR], 3.4; 95% CI: 1.7,
6.9 per doubling; P = .001) and increasing GGO attenuation (OR, 3.2; 95% CI: 1.3,
8.3 per standard deviation, P = .02) were independent predictors of deterioration
or death; as was C-reactive protein (OR, 2.1; 95% CI: 1.3, 3.4 per doubling; P = .004),
history of heart failure (OR 1.3; 95% CI: 1.1, 1.6, P = .01), and chronic lung disease
(OR, 1.3; 95% CI: 1.0, 1.6; P = .02). Quantitative CT measures added incremental predictive
value beyond a model with only clinical parameters (area under the curve, 0.93 vs
0.82, P = .006). The optimal prognostic cutoffs for burden of COVID-19 pneumonia as
determined by the Youden index were consolidation of greater than or equal to 1.8%
and GGO of greater than or equal to 13.5%. Conclusion: Quantitative burden of consolidation
or GGO at chest CT independently predicted clinical deterioration or death in pa-tients
with COVID-19 pneumonia. CT-derived measures have incremental prognostic value over
and above clinical parameters and may be useful for risk stratifying patients with
COVID-19.
